Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 21786 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21786 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9786, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.9791, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.9791, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9748, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9748, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9728, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9738, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.9791, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs